Multisite Evaluation of a Data Quality Tool for Patient-Level Clinical Data Sets.

ABSTRACT:

Introduction

Data quality and fitness for analysis are crucial if outputs of analyses of electronic health record data or administrative claims data should be trusted by the public and the research community.

Methods

We describe a data quality analysis tool (called Achilles Heel) developed by the Observational Health Data Sciences and Informatics Collaborative (OHDSI) and compare outputs from this tool as it was applied to 24 large healthcare datasets across seven different organizations.

Results

We highlight 12 data quality rules that identified issues in at least 10 of the 24 datasets and provide a full set of 71 rules identified in at least one dataset. Achilles Heel is a freely available software that provides a useful starter set of data quality rules with the ab

SUBMITTER: Huser V 

PROVIDER: S-EPMC5226382 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature